Lesson plan

Apache NiFi

Apache NiFi is a software project from the Apache Software Foundation designed to automate the flow of data between software systems. Leveraging the concept of extract, transform, load (ETL), it is based on the "NiagaraFiles" software previously developed by the US National Security Agency (NSA), which is also the source of a part of its present name – NiFi. It was open-sourced as a part of NSA's technology transfer program in 2014. The software design is based on the flow-based programming model and offers features which prominently include the ability to operate within clusters, security using TLS encryption, extensibility (users can write their own software to extend its abilities) and improved usability features like a portal which can be used to view and modify behaviour visually.

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Article summary

Apache NiFi is a software project from the Apache Software Foundation designed to automate the flow of data between software systems. Leveraging the concept of extract, transform, load (ETL), it is based on the "NiagaraFiles" software previously developed by the US National Security Agency (NSA), which is also the source of a part of its present name – NiFi. It was open-sourced as a part of NSA's technology transfer program in 2014. The software design is based on the flow-based programming model and offers features which prominently include the ability to operate within clusters, security using TLS encryption, extensibility (users can write their own software to extend its abilities) and improved usability features like a portal which can be used to view and modify behaviour visually.

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Discussion questions

  1. Summarise the article in your own words. Which single claim would you verify first, and why?
  2. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
  3. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

Bibliography

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Key claims and bibliography are generated from the same tracked claims and sources as the article page.